Computer Vision News - May 2021

5 Autism Spectrum Disorder & Brain Disorders A lack of normal eye contact during social interaction is one of the main clinical features of ASD. Screening for ocular fixation at 2–6 months old can provide early detection and even interventions for children with ASD. Ocular assessments of AD patients have demonstrated saccadic dysfunctions indicative of poor visual attention. Patients with AD also have altered retinal microvasculature, such as sparser and more tortuous retinal vessels and narrower retinal venules. These ocular findings provide an opportunity for their collective use as biomarkers for machine learning algorithms to test AD. Visual processing impairment including visual hallucination, distortion of shapes, or light intensity, is commonly observed in patients with SZ. Abnormal retinal findings like dilated retinal venules, RNFL thinning, and ERG abnormalities were present in SZ patients. For the major depressive disorder cases, it can be once again noted in the eye. Reduced contrast sensitivity is frequently seen in individuals with MDD, both medicated and unmedicated. Patients with seasonal affective disorder (SAD) have a significantly reduced post-illumination pupillary response (PIPR) as demonstrated by infrared pupillometry. With computer vision, CV, as one of the most powerful tools to push AI applications into healthcare areas, exhibits a high capability of auto-screening diseases, such as skin cancer and diabetic retinopathy. Individuals with brain disorders may benefit from CV-based AI applications in neurological healthcare. Computer Vision for Brain Disorders Based Primarily on Ocular Responses